ComputeGPT: A computational chat model for numerical problems
May 08, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Ryan Hardesty Lewis, Junfeng Jiao
arXiv ID
2305.06223
Category
cs.PL: Programming Languages
Cross-listed
cs.AI,
cs.CL
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Language models are not accurate in numerical problems. Their architecture does not allow for anything less than a probabilistic next word. This paper introduces ComputeGPT: an approach of creating a chat model able to answer computational problems through running on-demand code. ComputeGPT converts each question to relevant code, runs the code, and returns the computed answer as part of the chat. We combine this approach with a local browser-based Python interpretation and fine-tuned prompts in order to achieve state-of-the-art efficiency on numerical problems and provide a suitable front-end and safe environment for the code to be executed in.
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